feat(correlation): multi-factor lagged correlation with partial correlation and directional analysis - #188
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Him-an-shi merged 1 commit intoJul 24, 2026
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… and directional analysis - Add computeLaggedCorrelation: tests -7 to +7 day lags with optimal identification - Add computePartialCorrelation: controls for confounders via residualization - Add permutationTest: 1000-shuffle significance test (p < 0.05) - Add computeDirectionalAnalysis: Granger-causality-inspired direction detection - Add computeAdvancedCorrelation: unified entry point combining all methods - Add Pearson correlation with pairwise deletion for missing data - Add seeded PRNG (Mulberry32) for reproducible permutation tests - All functions handle sparse/irregular data gracefully Closes Him-an-shi#183
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Summary
Add advanced correlation analysis to the mood-cycle module: lagged cross-correlation, partial correlation controlling for confounders, permutation-based significance testing, and Granger-causality-inspired directional analysis.
Changes (+356 lines)
Closes #183